Thesis PF.Indb

Total Page:16

File Type:pdf, Size:1020Kb

Thesis PF.Indb Studies on biological functions of the transcription factors Sp3 and Sp4 Pieter Fokko van Loo © P.F. van Loo All rights reserved. No part of this book may be reproduced or transmitted, in any form or by any means, without written permission of the author ISBN: 90-5335-0500 Printed by Ridderprint offsetdrukkerij B.V., Ridderkerk Studies on biological functions of the transcription factors Sp3 and Sp4 Onderzoek naar biologische functies van de transcriptiefactoren Sp3 en Sp4 Proefschrift ter verkrijgen van de graad van doctor aan de Erasmus Universiteit Rotterdam op gezag van de Rector Magnifi cus Prof. dr. S.W.J. Lamberts en volgens besluit van het College voor Promoties. De openbare verdediging zal plaatsvinden op woensdag 13 april 2005 om 15.45 uur door Pieter Fokko van Loo geboren te Hoogeveen. Promotiecommssie Promotor: Prof. dr. F.G. Grosveld Overige leden: Prof. dr. D.J.G.M. Duncker Prof. dr. J.A. Grootegoed Prof. dr. C.P. Verrijzer Copromotor: Dr. J.N.J. Philipsen Dit proefschrift is tot stand gekomen binnen de Vakgroep Celbiologie aan de Faculteit der Geneeskunde en Gezondheidswetenschappen van de Erasmus MC Medische Universiteit Rotterdam. De Vakgroep maakt deel uit van het Medisch Genetisch Centrum Zuid-West Nederland. Het onderzoek is fi nancieel ondersteund door de Nederlandse Organisatie voor Wetenschappelijk onderzoek NWO. Het verschijnen van dit proefschrift in boekvorm is mede mogelijk gemaakt door een fi nanciële bijdrage van J.E. Jurriaanse Stichting. 2 In het begin schiep God de hemel en de aarde. Genesis 1 vers 1 (nieuwe bijbel vertaling) Contents Abbreviations page 6 Scope of this thesis page 9 Chapter 1 Introduction page 11 Chapter 2 Impaired hematopoiesis in mice lacking the transcription factor Sp3 page 41 Chapter 3 Transcription factor Sp3 has a crucial role in cardiac development page 61 Chapter 4 Identifi cation of target genes of the transcription factor Sp3 in fetal page 79 murine heart by microarray experiments Chapter 5 Sexual behaviour and odour preference in Sp4 knockout mice page 99 Chapter 6 Discussion: concluding remarks and future outlook page 117 Samenvatting page 129 Curriculum vitae page 135 Nawoord page 137 5 Abbreviations A anterior aaRNA aminoallyl RNA Abca8b ATP-binding cassette, sub-family A 8b Abdh1 alpha/beta hydrolase domain containing 1 AER apical ectodermal ridge AGM aorta-gonads-mesonephros Amhc1 atrial myosin heavy chain 1 Ao aorta AP2rep activating protein 2 repressor Aprt adenine phosphoribosyl transferase Bhlh basic helix-loop-helix bp base pair(s) Bklf basic klf Btd-box Buttonhead-box Bteb basic transcription element binding protein cAMP cyclic adenosine mono phosphate cDNA complementary DNA CNS central nervous system Cnx connexin CLP common lymphoid progenitor CMP common myeloid progenitor Coup TFII chicken ovalbumin upstream promoter transcription factor II DC dendritic cell Defcr-rs12 defensin related cryptin, related sequence 12 DILV double inlet left ventricle DNA deoxyribonucleic acid dNTP deoxy-N-5’-triphosphate DORV double outlet right ventricle DTT 1,4-dithiothreitol Egf(r) epidermal growth factor (receptor) EMP erythrocyte-megakaryocyte progenitor Eklf erythroid klf EPDC epicardial derived cell ErbB see Egfr ER estrogen receptor ES cell embryonic stem cell ET1 endothelin1 Fgf fi broblast growth factor Fog1 friend of Gata1 Gklf gut klf GMP granulocyte-monocyte progenitor GTF general transcription factor H2A histone type 2A H2B histone type 2B H3 histone type 3 H4 histone type 4 HPC hematopoietic progenitor cell HSC hematopoietic stem cell Iklf intestine enriched klf Irx4 iroquois related homeobox 4 Kklf kidney klf klf Krüppel-like factor L left LA left atrium Lcn5 lipocalin 5 Lklf lung klf LV left ventricle 6 mBtd mouse Buttonhead mRNA messenger RNA Mef2c myocyte enhancer factor 2c Mlc2a myosin light chain 2 atrial Mlc2v myosin light chain 2 ventricular Nhlh2 nescient helix-loop-helix 2 NK cell natural killer cell O-GlcNAc O-linked monosaccharide β-N-acetylglucosamine P posterior PA pulmonary artery Pax5 paired box gene 5 Pdgfβ platelet derived growth factor β chain PEST proline, glutamine, serine and threonine enriched sequences Pka protein kinase A Pkcγ protein kinase C γ R right RA right atrium RNA ribonucleic acid RNApI RNA polymerase I RNApII RNA polymerase II RNApIII RNA polymerase III rRNA ribosomal RNA RV right ventricle Rxrα retinoic x receptor α SDS sodium dodecyl sulfate Slc6a20 solute carrier family 6 member 20 Sp specifi city protein Spock1 sparc/osteonectin, cwcv and kazal-like domains proteoglycan 1 Srebp sterol regulatory element binding protein SUMO small ubiquitin-like modifi er SV40 Simian virus 40 T Brachyury mutation TAF TBP-associated factor TAFII110 TATA-box binding protein-associated factor II 110 TBP TATA-box binding protein Tbx5 T-box transcription factor 5 TCRα T-cell antigen receptor α TFIIX transcription factor IIX Tgfβ transforming growth factor β Th1 T helper 1 Th2 T helper 2 Tieg tgf β inducible early growth response protein Tpk1 thiamin pyrophosphokinase 1 tRNA transfer RNA TSA histone deacetylase inhibitor trichostatin A Ttf1 tfhyroid transcription factor 1 Ug/Ccsp uteroglobin/clara cell secretory protein U units Uklf ubiquitous klf UTP uridine-5’-triphosphate Vegf vascular endothelial growth factor Vmhc1 ventricle specifi c myosin heavy chain 1 VNO vomeronasal organ VSD ventricular septal defect XKLF x Krüppel-like factor Ypel1 yippee-like 1 Zf9 zinc-fi nger protein 9 Znf714 zinc-fi nger protein 741 7 Scope of this thesis In this thesis I describe the work that I have executed to study functions of the transcription factors Sp3 and Sp4. Previous experiments on these factors have shown that Sp3 is absolutely essential for normal embryogenesis and that Sp4 is required for post-natal functioning and survival, including sexual behaviour. However, their exact biological roles, and how they fulfi l them, remain a mystery. The experiments described in this thesis were designed to come closer to the answers of these questions. Chapter 1 To place the transcription factors Sp3 and Sp4 in the biological framework of transcription, the fi rst chapter introduces the Sp/XKLF family and in particular the Sp subfamily, and describes the role of transcription factors in the regulation of eukaryotic gene transcription in general, as well as in hematopoiesis and cardiac development. Chapter 2 Sp3 has been functionally associated with the hematopoietic system. This chapter describes our study that was undertaken to charaterize the role that Sp3 fulfi ls in the hematopoietic system. This study was performed by an analysis of fetal and adult hematopoiesis in Sp3-defi cient mice. Chapter 3 The defect that causes the perinatal death of the Sp3-/- mice remains unknown. As preliminary observations gave a hint that cardiac dysfunction might bring about their perinatal death, we undertook morphological and molecular analysis of Sp3-/- fetal hearts. Chapter 4 To understand the role of Sp3 in embryogenesis and survival, target genes of Sp3 have to be identifi ed. To identify such genes, we studied and compared the gene expression profi les of fetal Sp3+/+ and Sp3-/- hearts by microarray experiments. Chapter 5 To understand the role of Sp4 in sexual maturation, the impaired sexual behaviour of Sp4-defi cient males and females was studied in detail by behavioural- and molecular studies. Chapter 6 Many pieces remain in the puzzle of the biological functions of Sp3 and Sp4. This chapter is a concluding remark on the Sp3 and Sp4 data presented here, and gives an outlook on new experiments that may contribute to elucidate further aspects of the biological roles of Sp3 and Sp4. 9 Chapter 1 Introduction Transcription is regulated by transcription factors Eukaryotic genomes typically contain thousands of genes harbouring information for the proteins that regulate cellular processes. To utilize the encrypted genetic information, genes have to be transcribed into messenger RNA (mRNA), which thereupon is translated into proteins. Transcription of genes into mRNA is highly regulated in time and space to ensure that produced proteins can fulfi l their biological role in the development or maintenance of cells and body at the right place and at the right time. In eukaryotes, the transcription of genes into mRNA is performed by the RNA polymerase II (RNApII) enzyme. The two other eukaryotic polymerases, RNApI and RNApIII, transcribe ribosomal RNA (rRNA) and transfer RNA (tRNA), respectively.1 The activity of RNApII is regulated by a large protein complex of general transcription factors (GTF), e.g. transcription factor IIB (TFIIB) and TFIID.2 A representative example of regulation of RNApII during initiation and prolongation of transcription is the interaction of RNApII to promoters containing a TATA-box, an AT-rich sequence located 25-30 bp upstream the transcriptional initiation site. The RNApII is recruited to the TATA-box containing promoter by an association between RNApII and the multi-subunit complex TFIID. A subunit of the TFIID complex, the TATA-box binding protein (TBP), facilitates fi nal binding of the entire protein complex, which includes RNApII, to the TATA-box. Other well known TFIID subunits are the TBP-associated factors (TAFs).3,4 However, the basal transcriptional machinery alone is not suffi cient to initiate or to direct transcription effi ciently. Discovery of sequence-specifi c DNA-binding proteins or transcription factors revealed that RNApII transcription is directed by cis control elements present in proximal promoter and distal enhancer regions in the genome. Via binding to the cis control elements and via subsequent recruiting of cofactors (corepressors or coactivators) these factors direct the activity of basal transcription machinery and thereby contribute to correct transcription of a gene (review see references 5,6). Specifi city of expression of each individual gene is accomplished by complex arrays of various transcription factor target sequences in the cis control elements of the gene.7 DNA in the cell is packaged into chromatin. One of the tasks of transcription factors is to recruit chromatin modifi ers to the DNA to modify the condensation grade of chromatin.
Recommended publications
  • TRANSCRIPTIONAL REGULATION of Hur in RENAL STRESS
    TRANSCRIPTIONAL REGULATION OF HuR IN RENAL STRESS DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Sudha Suman Govindaraju Graduate Program in Biochemistry The Ohio State University 2014 Dissertation Committee: Dr. Beth S. Lee, Ph.D., Advisor Dr. Kathleen Boris-Lawrie, Ph.D. Dr. Sissy M. Jhiang, Ph.D. Dr. Arthur R. Strauch, Ph.D Abstract HuR is a ubiquitously expressed RNA-binding protein that affects the post- transcriptional life of thousands of cellular mRNAs by regulating transcript stability and translation. HuR can post-transcriptionally regulate gene expression and modulate cellular responses to stress, differentiation, proliferation, apoptosis, senescence, inflammation, and the immune response. It is an important mediator of survival during cellular stress, but when inappropriately expressed, can promote oncogenic transformation. Not surprisingly, the expression of HuR itself is tightly regulated at multiple transcriptional and post-transcriptional levels. Previous studies demonstrated the existence of two alternate HuR transcripts that differ in their 5’ untranslated regions and have markedly different translatabilities. These forms were also found to be reciprocally expressed following cellular stress in kidney proximal tubule cell lines, and the shorter, more readily translatable variant was shown to be regulated by Smad 1/5/8 pathway and bone morphogenetic protein-7 (BMP-7) signaling. In this study, the factors that promote transcription of the longer alternate form were identified. NF-κB was shown to be important for expression of the long HuR mRNA, as was a newly identified region with potential for binding the Sp/KLF families of transcription factors.
    [Show full text]
  • TBX15/Mir-152/KIF2C Pathway Regulates Breast Cancer Doxorubicin Resistance Via Preventing PKM2 Ubiquitination
    TBX15/miR-152/KIF2C Pathway Regulates Breast Cancer Doxorubicin Resistance via Preventing PKM2 Ubiquitination Cheng-Fei Jiang Nanjing Medical University Yun-Xia Xie Zhengzhou University Ying-Chen Qian Nanjing Medical University Min Wang Nanjing Medical University Ling-Zhi Liu Thomas Jefferson University - Center City Campus: Thomas Jefferson University Yong-Qian Shu Nanjing Medical University Xiao-Ming Bai ( [email protected] ) Nanjing Medical University Bing-Hua Jiang Thomas Jefferson University Research Keywords: TBX15, miR-152, KIF2C, PKM2, Doxorubicin resistance, breast cancer Posted Date: December 28th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-130874/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/29 Abstract Background Chemoresistance is a critical risk problem for breast cancer treatment. However, mechanisms by which chemoresistance arises remains to be elucidated. The expression of T-box transcription factor 15 (TBX- 15) was found downregulated in some cancer tissues. However, role and mechanism of TBX15 in breast cancer chemoresistance is unknown. Here we aimed to identify the effects and mechanisms of TBX15 in doxorubicin resistance in breast cancer. Methods As measures of Drug sensitivity analysis, MTT and IC50 assays were used in DOX-resistant breast cancer cells. ECAR and OCR assays were used to analyze the glycolysis level, while Immunoblotting and Immunouorescence assays were used to analyze the autophagy levels in vitro. By using online prediction software, luciferase reporter assays, co-Immunoprecipitation, Western blotting analysis and experimental animals models, we further elucidated the mechanisms. Results We found TBX15 expression levels were decreased in Doxorubicin (DOX)-resistant breast cancer cells.
    [Show full text]
  • The Krüppel-Like Factors in Female Reproductive System Pathologies
    R C M SIMMEN and others KLFs in female reproductive 54:2 R89–R101 Review diseases The Kru¨ppel-like factors in female reproductive system pathologies Rosalia C M Simmen, Melissa E Heard, Angela M Simmen1, Maria Theresa M Montales, Meera Marji, Samantha Scanlon and John Mark P Pabona2 Department of Physiology and Biophysics, University of Arkansas for Medical Sciences, Little Rock, Correspondence Arkansas 72205, USA should be addressed 1Department of Obstetrics and Gynecology, University of Michigan Health System, Ann Arbor, Michigan 48109, USA to R C M Simmen 2Department of Internal Medicine, Harlem Hospital Center, Columbia University Medical Center, Email New York, New York 10037, USA [email protected] Abstract Female reproductive tract pathologies arise largely from dysregulation of estrogen and Key Words progesterone receptor signaling, leading to aberrant cell proliferation, survival, and " KLF differentiation. The signaling pathways orchestrated by these nuclear receptors are complex, " endometrial pathologies require the participation of many nuclear proteins serving as key binding partners or targets, " progesterone and involve a range of paracrine and autocrine regulatory circuits. The members of the " Notch Kru¨ ppel-like factor (KLF) family of transcription factors are ubiquitously expressed in " Wnt reproductive tissues and have been increasingly implicated as critical co-regulators and integrators of steroid hormone actions. Herein, we explore the involvement of KLF family members in uterine pathology, describe their currently known molecular mechanisms, Journal of Molecular and discuss their potential as targets for therapeutic intervention. Endocrinology (2015) 54, R89–R101 Journal of Molecular Endocrinology Introduction The human uterus has a unique role in the successful transcriptional pathways involve interactions with transmission of germ line DNA to guarantee the numerous nuclear co-regulators (Dasgupta & O’Malley propagation of the human species.
    [Show full text]
  • Modeling Non-Linear Relationships Between
    Georgia State University ScholarWorks @ Georgia State University Public Health Theses School of Public Health Spring 5-13-2016 Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence Nicholas Johnson Follow this and additional works at: https://scholarworks.gsu.edu/iph_theses Recommended Citation Johnson, Nicholas, "Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence." Thesis, Georgia State University, 2016. https://scholarworks.gsu.edu/iph_theses/473 This Thesis is brought to you for free and open access by the School of Public Health at ScholarWorks @ Georgia State University. It has been accepted for inclusion in Public Health Theses by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. P a g e | 1 ABSTRACT Modeling Non-Linear Relationships Between DNA Methylation And Age: The Application of Regularization Methods To Predict Human Age And The Implication Of DNA Methylation In Immunosenescence By Nicholas David Johnson May 4, 2016 Background: Gene expression is regulated via highly coordinated epigenetic changes, the most studied of which is DNA methylation (DNAm). Many studies have shown that DNAm is linearly associated with age, and some have even used DNAm data to build predictive models of human age, which are immensely important considering that DNAm can predict health outcomes, such as all-cause mortality, better than chronological age. Nevertheless, few studies have investigated non-linear relationships between DNAm and age, which could potentially improve these predictive models.
    [Show full text]
  • KLF14 Potentiates Oxidative Adaptation Via Modulating HO-1 Signaling in Castrate-Resistant Prostate Cancer
    26 1 Endocrine-Related X Luo, J Liu, B Wang et al. Role of KLF14 in CRPC 26:1 181–195 Cancer RESEARCH KLF14 potentiates oxidative adaptation via modulating HO-1 signaling in castrate-resistant prostate cancer Xiao-hui Luo1,*, Jian-zhou Liu1,*, Bo Wang1,*, Qun-li Men1, Yu-quan Ju1, Feng-yan Yin1, Chao Zheng1 and Wei Li2 1Department of Urology, Baoji Center Hospital, Baoji, Shaanxi Province, People’s Republic of China 2Department of Human Anatomy, Histology and Embryology, Fourth Military Medical University, Xi’an, Shaanxi Province, People’s Republic of China Correspondence should be addressed to X Luo or W Li: [email protected] or [email protected] *(X Luo, J Liu and B Wang contributed equally to this work) Abstract Insights into the mechanisms by which key factors stimulate cell growth under androgen- Key Words depleted conditions is a premise to the development of effective treatments with clinically f Krüppel-like factor 14 significant activity in patients with castration-resistant prostate cancer (CRPC). Herein, (KLF14) we report that, the expression of Krüppel-like factor 14 (KLF14), a master transcription f CRPC factor in the regulation of lipid metabolism, was significantly induced in castration- f oxidative stress insensitive PCa cells and tumor tissues from a mouse xenograft model of CRPC. KLF14 f heme oxygenase-1 (HO-1) upregulation in PCa cells, which was stimulated upstream by oxidative stress, was f transcriptional regulation dependent on multiple pathways including PI3K/AKT, p42/p44 MAPK, AMPK and PKC pathways. By means of ectopic overexpression and genetic inactivation, we further show that KLF14 promoted cell growth via positive regulation of the antioxidant response under androgen-depleted conditions.
    [Show full text]
  • Epigenetic Variability of CD4+CD25+ Tregs Contributes to the Pathogenesis of Autoimmune Diseases
    Clinic Rev Allerg Immunol DOI 10.1007/s12016-016-8590-3 Epigenetic Variability of CD4+CD25+ Tregs Contributes to the Pathogenesis of Autoimmune Diseases Ye Shu1,2 & Qinghua Hu3 & Hai Long1 & Christopher Chang4 & Qianjin Lu1 & Rong Xiao1 # Springer Science+Business Media New York 2016 Abstract Autoimmune diseases are characterized by aberrant andtrimethylationlevelsofhistoneH3andH4whencompared immune responses against healthy cells and tissues. However, with effector T cells, leading to an open chromatin structure. the exact mechanisms underlying the development of these MicroRNAs such as miR-155, miR-126, and miR-10a also conditions remain unknown. CD4+CD25+ regulatory T cells exert an important influence on the differentiation, develop- (Tregs) are a subset of mature T cells which have an important ment, and immunological functions of Tregs. Aberrant epige- role in maintaining immune homeostasis and preventing au- netic modifications affecting Foxp3 and other key genes in toimmune diseases. Forkhead box p3 (Foxp3), a member of Tregs contribute to disease activity and tissue inflammation in the fork head transcription factor family, is recognized as a autoimmune diseases, which holds great potential for providing marker of CD4+CD25+ Tregs. The decreased number and/ novel targets for epigenetic therapies. Advances in research into or function of CD4+CD25+ Tregs in peripheral blood and the epigenetic regulation of CD4+CD25+ Tregs may also lead related tissues has been demonstrated in systemic lupus to the identification of new epigenetic biomarkers for diagnosis erythematosus, systemic sclerosis, and other autoimmune and prognosis. diseases, which are at least partially regulated by epigenetic mechanisms. Epigenetics refers to the study of potentially Keywords Tregs .
    [Show full text]
  • Perhexiline Activates KLF14 and Reduces Atherosclerosis by Modulating Apoa-I Production
    Downloaded from http://www.jci.org on September 21, 2015. http://dx.doi.org/10.1172/JCI79048 The Journal of Clinical Investigation RESEARCH ARTICLE Perhexiline activates KLF14 and reduces atherosclerosis by modulating ApoA-I production Yanhong Guo,1 Yanbo Fan,1 Jifeng Zhang,1 Gwen A. Lomberk,2 Zhou Zhou,3 Lijie Sun,1,4 Angela J. Mathison,2 Minerva T. Garcia-Barrio,5 Ji Zhang,1 Lixia Zeng,6 Lei Li,4,6 Subramaniam Pennathur,6 Cristen J. Willer,1 Daniel J. Rader,7 Raul Urrutia,2 and Y. Eugene Chen1 1Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, Michigan, USA. 2Laboratory of Epigenetics and Chromatin Dynamics, Epigenomics Translational Program, Gastroenterology Research Unit, Departments of Biochemistry and Molecular Biology, Biophysics, and Medicine, Mayo Clinic, Rochester, Minnesota, USA. 3Laboratory of Liver Diseases, National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, Maryland, USA. 4Department of Cardiology, Peking University Third Hospital and Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Ministry of Health, Beijing, China. 5Cardiovascular Research Institute, Morehouse School of Medicine, Atlanta, Georgia, USA. 6Division of Nephrology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA. 7Institute for Translational Medicine and Therapeutics, Cardiovascular Institute and Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. Recent genome-wide association studies have revealed that variations near the gene locus encoding the transcription factor Krüppel-like factor 14 (KLF14) are strongly associated with HDL cholesterol (HDL-C) levels, metabolic syndrome, and coronary heart disease. However, the precise mechanisms by which KLF14 regulates lipid metabolism and affects atherosclerosis remain largely unexplored.
    [Show full text]
  • Effect of Common Genetic Variants Associated with Type 2 Diabetes and Glycemic Traits on Α and ΒCell Function and Insulin Action in Man
    Page 1 of 34 Diabetes Effect of Common Genetic Variants Associated with Type 2 Diabetes and Glycemic Traits on α- and β-cell Function and Insulin Action in Man Anna Jonsson1,2, Claes Ladenvall1, Tarunveer Singh Ahluwalia1,2, Jasmina Kravic1, Ulrika Krus1, Jalal Taneera1, Bo Isomaa3,4, Tiinamaija Tuomi3,5, Erik Renström1, Leif Groop1,6 and Valeriya Lyssenko1,7 From the 1Department of Clinical Sciences, Diabetes and Endocrinology, Lund University, Malmö, Sweden, Lund University Diabetes Centre, Malmö, Sweden, 2Novo Nordisk Foundation Centre for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical and Sciences, University of Copenhagen, Copenhagen, Denmark, 3Folkhälsan Research Centre, Helsinki, Finland, 4Department of Social Services and Health Care, Jakobstad, Finland, 5Department of Medicine, Helsinki University Central Hospital, Helsinki, Finland, 6Finnish Institute of Molecular Medicine (FIMM), Helsinki University, Helsinki, Finland, 7Steno Diabetes Center A/S, Gentofte, Denmark Running title: Genetic variants, insulin and glucagon secretion Word count: Abstract 197, Main text 1,997 Items on display: 4 Figures, 8 Supplementary Tables, 5 Supplementary Figures Abbreviations SNP - single nucleotide polymorphism, OGTT - oral glucose tolerance test, FPG – fasting plasma glucose, ISI - insulin sensitivity index, HOMA-IR - insulin resistance index, CIR - corrected insulin response, DI - disposition index. Address for correspondence Anna Jonsson Novo Nordisk Foundation Centre for Basic Metabolic Research Section
    [Show full text]
  • Use of Genomic Panels to Determine Risk of Developing Type 2 Diabetes in the General Population: a Targeted Evidence-Based Review
    EGAPP ReVIeW © American College of Medical Genetics and Genomics Use of genomic panels to determine risk of developing type 2 diabetes in the general population: a targeted evidence-based review Glenn E. Palomaki, PhD1, Stephanie Melillo, MPH2,3, Michael Marrone, MPH2,4,5 and Michael P. Douglas, MS2,4 This evidence review addresses whether type 2 diabetes genomic risk Areas under the curve were 0.547, 0.551, and 0.570, respectively. In panels improve health outcomes (e.g., reduce rates of developing type high-risk populations, per-allele odds ratios for TCF7L2 alone were 2 diabetes) in low- or high-risk adults; two clinical scenarios promul- similar to those of the general population. TCF7L2, in combination gated by commercial companies offering such testing. Evidence for with other variants, yielded minimal improvement in risk reclassifica- the analytic validity of available genomic profiles was inadequate. tion. Evidence on TCF7L2 clinical validity was adequate. Three studies Clinical validity ranged from inadequate to convincing for 30 vari- addressed the clinical utility of intervention effectiveness, stratified by ants identified on five type 2 diabetes genomic panels and by genome- TCF7L2 geno­type; none found significant interactions. Clinical utility wide association studies. Eight common variants were identified evidence was inadequate. In addition to analytic validity and clinical for general population use; evidence credibility based on published utility knowledge gaps, additional gaps were identified regarding how criteria was strong for two variants, moderate for two variants, and to inform, produce, and evaluate models combining multiple variants. weak for four variants. TCF7L2 had the largest per-allele odds ratio Genet Med 2013:15(8):600–611 of 1.39 (95% confidence interval 1.33–1.46).
    [Show full text]
  • Supplementary Table 1: Differentially Methylated Genes and Functions of the Genes Before/After Treatment with A) Doxorubicin and B) FUMI and in C) Responders Vs
    Supplementary Table 1: Differentially methylated genes and functions of the genes before/after treatment with a) doxorubicin and b) FUMI and in c) responders vs. non- responders for doxorubicin and d) FUMI Differentially methylated genes before/after treatment a. Doxo GENE FUNCTION CCL5, CCL8, CCL15, CCL21, CCR1, CD33, IL5, immunoregulatory and inflammatory processes IL8, IL24, IL26, TNFSF11 CCNA1, CCND2, CDKN2A cell cycle regulators ESR1, FGF2, FGF14, FGF18 growth factors WT1, RASSF5, RASSF6 tumor suppressor b. FUMI GENE FUNCTION CCL7, CCL15, CD28, CD33, CD40, CD69, TNFSF18 immunoregulatory and inflammatory processes CCND2, CDKN2A cell cycle regulators IGF2BP1, IGFBP3 growth factors HOXB4, HOXB6, HOXC8 regulation of cell transcription WT1, RASSF6 tumor suppressor Differentially methylated genes in responders vs. non-responders c. Doxo GENE FUNCTION CBR1, CCL4, CCL8, CCR1, CCR7, CD1A, CD1B, immunoregulatory and inflammatory processes CD1D, CD1E, CD33, CD40, IL5, IL8, IL20, IL22, TLR4 CCNA1, CCND2, CDKN2A cell cycle regulators ESR2, ERBB3, FGF11, FGF12, FGF14, FGF17 growth factors WNT4, WNT16, WNT10A implicated in oncogenesis TNFSF12, TNFSF15 apoptosis FOXL1, FOXL2, FOSL1,HOXA2, HOXA7, HOXA11, HOXA13, HOXB4, HOXB6, HOXB8, HOXB9, HOXC8, regulation of cell transcription HOXD8, HOXD9, HOXD11 GSTP1, MGMT DNA repair APC, WT1 tumor suppressor d. FUMI GENE FUNCTION CCL1, CCL3, CCL5,CCL14, CD1B, CD33, CD40, CD69, immunoregulatory and inflammatory IL20, IL32 processes CCNA1, CCND2, CDKN2A cell cycle regulators IGF2BP1, IGFBP3, IGFBP7, EGFR, ESR2,RARB2
    [Show full text]
  • KLF14 Potentiates Oxidative Adaptation Via Modulating HO-1 Signaling in Castrate-Resistant Prostate Cancer
    26 1 Endocrine-Related X Luo, J Liu, B Wang et al. Role of KLF14 in CRPC 26:1 181–195 Cancer RESEARCH KLF14 potentiates oxidative adaptation via modulating HO-1 signaling in castrate-resistant prostate cancer Xiao-hui Luo1,*, Jian-zhou Liu1,*, Bo Wang1,*, Qun-li Men1, Yu-quan Ju1, Feng-yan Yin1, Chao Zheng1 and Wei Li2 1Department of Urology, Baoji Center Hospital, Baoji, Shaanxi Province, People’s Republic of China 2Department of Human Anatomy, Histology and Embryology, Fourth Military Medical University, Xi’an, Shaanxi Province, People’s Republic of China Correspondence should be addressed to X Luo or W Li: [email protected] or [email protected] *(X Luo, J Liu and B Wang contributed equally to this work) Abstract Insights into the mechanisms by which key factors stimulate cell growth under androgen- Key Words depleted conditions is a premise to the development of effective treatments with clinically f Krüppel-like factor 14 significant activity in patients with castration-resistant prostate cancer (CRPC). Herein, (KLF14) we report that, the expression of Krüppel-like factor 14 (KLF14), a master transcription f CRPC factor in the regulation of lipid metabolism, was significantly induced in castration- f oxidative stress insensitive PCa cells and tumor tissues from a mouse xenograft model of CRPC. KLF14 f heme oxygenase-1 (HO-1) upregulation in PCa cells, which was stimulated upstream by oxidative stress, was f transcriptional regulation dependent on multiple pathways including PI3K/AKT, p42/p44 MAPK, AMPK and PKC pathways. By means of ectopic overexpression and genetic inactivation, we further show that KLF14 promoted cell growth via positive regulation of the antioxidant response under androgen-depleted conditions.
    [Show full text]
  • Epigenetic Mechanisms Are Involved in the Oncogenic Properties of ZNF518B in Colorectal Cancer
    Epigenetic mechanisms are involved in the oncogenic properties of ZNF518B in colorectal cancer Francisco Gimeno-Valiente, Ángela L. Riffo-Campos, Luis Torres, Noelia Tarazona, Valentina Gambardella, Andrés Cervantes, Gerardo López-Rodas, Luis Franco and Josefa Castillo SUPPLEMENTARY METHODS 1. Selection of genomic sequences for ChIP analysis To select the sequences for ChIP analysis in the five putative target genes, namely, PADI3, ZDHHC2, RGS4, EFNA5 and KAT2B, the genomic region corresponding to the gene was downloaded from Ensembl. Then, zoom was applied to see in detail the promoter, enhancers and regulatory sequences. The details for HCT116 cells were then recovered and the target sequences for factor binding examined. Obviously, there are not data for ZNF518B, but special attention was paid to the target sequences of other zinc-finger containing factors. Finally, the regions that may putatively bind ZNF518B were selected and primers defining amplicons spanning such sequences were searched out. Supplementary Figure S3 gives the location of the amplicons used in each gene. 2. Obtaining the raw data and generating the BAM files for in silico analysis of the effects of EHMT2 and EZH2 silencing The data of siEZH2 (SRR6384524), siG9a (SRR6384526) and siNon-target (SRR6384521) in HCT116 cell line, were downloaded from SRA (Bioproject PRJNA422822, https://www.ncbi. nlm.nih.gov/bioproject/), using SRA-tolkit (https://ncbi.github.io/sra-tools/). All data correspond to RNAseq single end. doBasics = TRUE doAll = FALSE $ fastq-dump -I --split-files SRR6384524 Data quality was checked using the software fastqc (https://www.bioinformatics.babraham. ac.uk /projects/fastqc/). The first low quality removing nucleotides were removed using FASTX- Toolkit (http://hannonlab.cshl.edu/fastxtoolkit/).
    [Show full text]